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      Synapse Innervation and Associative Memory Cell Are Recruited for Integrative Storage of Whisker and Odor Signals in the Barrel Cortex through miRNA-Mediated Processes

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          Abstract

          Associative learning is a common way for information acquisition, and the integrative storage of multiple associated signals is essential for associative thinking and logical reasoning. In terms of the cellular mechanism for associative memory, our studies by behavioral task and cellular imaging demonstrate that paired whisker and odor stimulations lead to odorant-induced whisker motion and associative memory cell recruitment in the barrel cortex (BC), which is driven presumably by synapse innervation from co-activated sensory cortices. To confirm these associative memory cells and synapse innervations essential for associative memory and to examine their potential mechanisms, we studied a causal relationship between epigenetic process and memory cell/synapse recruitment by manipulating miRNAs and observing the changes from the recruitments of associative memory cells and synapse innervations to associative memory. Anti-miRNA-324 and anti-miRNA-133a in the BC significantly downregulate new synapse innervation, associative memory cell recruitment and odorant-induced whisker motion, where Tau-tubulin kinase-1 expression is increased. Therefore, the upregulated miRNA-324 in associative learning knocks down Ttbk1-mediated Tau phosphorylation and microtubule depolymerization, which drives the balance between polymerization and depolymerization toward the axon prolongation and spine stabilization to initiate new synapse innervations and to recruit associative memory cells.

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          Most cited references54

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          A synaptic model of memory: long-term potentiation in the hippocampus.

          Long-term potentiation of synaptic transmission in the hippocampus is the primary experimental model for investigating the synaptic basis of learning and memory in vertebrates. The best understood form of long-term potentiation is induced by the activation of the N-methyl-D-aspartate receptor complex. This subtype of glutamate receptor endows long-term potentiation with Hebbian characteristics, and allows electrical events at the postsynaptic membrane to be transduced into chemical signals which, in turn, are thought to activate both pre- and postsynaptic mechanisms to generate a persistent increase in synaptic strength.
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            A shared neural ensemble links distinct contextual memories encoded close in time

            Recent studies suggest the hypothesis that a shared neural ensemble may link distinct memories encoded close in time 1–13 . According to the memory allocation hypothesis 1,2 , learning triggers a temporary increase in neuronal excitability 14–16 that biases the representation of a subsequent memory to the neuronal ensemble encoding the first memory, such that recall of one memory increases the likelihood of recalling the other memory. Accordingly, we report that the overlap between the hippocampal CA1 ensembles activated by two distinct contexts acquired within a day is higher than when they are separated by a week. Multiple convergent findings indicate that this overlap of neuronal ensembles links two contextual memories. First, fear paired with one context is transferred to a neutral context when the two are acquired within a day but not across a week. Second, the first memory strengthens the second memory within a day but not across a week. Older mice, known to have lower CA1 excitability 16,17 , do not show the overlap between ensembles, the transfer of fear between contexts, or the strengthening of the second memory. Finally, in aged animals, increasing cellular excitability and activating a common ensemble of CA1 neurons during two distinct context exposures rescued the deficit in linking memories. Taken together, these findings demonstrate that contextual memories encoded close in time are linked by directing storage into overlapping ensembles. Alteration of these processes by aging could affect the temporal structure of memories, thus impairing efficient recall of related information.
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              A neural circuit for memory specificity and generalization.

              Increased fear memory generalization is associated with posttraumatic stress disorder, but the circuit mechanisms that regulate memory specificity remain unclear. Here, we define a neural circuit-composed of the medial prefrontal cortex, the nucleus reuniens (NR), and the hippocampus-that controls fear memory generalization. Inactivation of prefrontal inputs into the NR or direct silencing of NR projections enhanced fear memory generalization, whereas constitutive activation of NR neurons decreased memory generalization. Direct optogenetic activation of phasic and tonic action-potential firing of NR neurons during memory acquisition enhanced or reduced memory generalization, respectively. We propose that the NR determines the specificity and generalization of memory attributes for a particular context by processing information from the medial prefrontal cortex en route to the hippocampus.
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                Author and article information

                Contributors
                Journal
                Front Cell Neurosci
                Front Cell Neurosci
                Front. Cell. Neurosci.
                Frontiers in Cellular Neuroscience
                Frontiers Media S.A.
                1662-5102
                25 October 2017
                2017
                : 11
                : 316
                Affiliations
                [1] 1School of Pharmacy, Qingdao University , Dengzhou, China
                [2] 2Institute of Biophysics, Chinese Academy of Sciences , Beijing, China
                [3] 3Department of Biology, University of Chinese Academy of Sciences , Beijing, China
                Author notes

                Edited by: Qi Yuan, Memorial University of Newfoundland, Canada

                Reviewed by: Shan Huang, University of California, Los Angeles, United States; Amin Shakhawat, Stanford University, United States

                *Correspondence: Jin-Hui Wang jhw@ 123456sun5.ibp.ac.cn

                These authors have contributed equally to this work.

                Article
                10.3389/fncel.2017.00316
                5661269
                29118695
                4310282d-e0bb-44ee-959a-deee6945d2ba
                Copyright © 2017 Lei, Wang, Chen, Ma, Lu, Song, Cui and Wang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 26 June 2017
                : 26 September 2017
                Page count
                Figures: 5, Tables: 0, Equations: 0, References: 53, Pages: 12, Words: 8368
                Categories
                Neuroscience
                Original Research

                Neurosciences
                learning,memory,synapse,memory cell,cortex,microrna,ttbk1
                Neurosciences
                learning, memory, synapse, memory cell, cortex, microrna, ttbk1

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